119 research outputs found
El impacto de la cultura china y española en el turismo de ambos países
En los últimos años, China se ha convertido en el cuarto destino turístico del
mundo y su competitividad turística aumenta año tras año. España, por su parte,
está considerada como uno de los principales países turísticos del mundo y su
industria turística sigue creciendo y prosperando. La industria turística española
sigue en auge e incluso ha superado a Estados Unidos para convertirse en el
segundo país más visitado del mundo. La internacionalización de la industria
turística es el camino a seguir. Identificar las diferencias culturales entre China y
España y reforzar la gestión del turismo intercultural es crucial para el futuro
desarrollo del turismo en ambos países.Grado en Comerci
Effects of Exercise Intervention on the Improvement of Polycystic Ovary Syndrome
Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disease characterized by hyperandrogenism and insulin resistance. It results in irregular menstruation, obesity and even infertility, which influences badly physical and mental health of the patients. Now, there is no effective drug for treating PCOS and the preferred program is lifestyle modification, including diet control, regular exercise and behavior therapy. Therefore, in the review, we summarize the study progress concerning the effects of lifestyle intervention on the metabolic, reproductive and psychological dysfunctions of PCOS patients and analyze the corresponding mechanisms in these processes. It can radically reduce the factors of PCOS occurrence and development, while providing valuable information for the prevention and treatment of PCOS and is helpful for further research
A Survey on Datasets for Decision-making of Autonomous Vehicle
Autonomous vehicles (AV) are expected to reshape future transportation
systems, and decision-making is one of the critical modules toward high-level
automated driving. To overcome those complicated scenarios that rule-based
methods could not cope with well, data-driven decision-making approaches have
aroused more and more focus. The datasets to be used in developing data-driven
methods dramatically influences the performance of decision-making, hence it is
necessary to have a comprehensive insight into the existing datasets. From the
aspects of collection sources, driving data can be divided into vehicle,
environment, and driver related data. This study compares the state-of-the-art
datasets of these three categories and summarizes their features including
sensors used, annotation, and driving scenarios. Based on the characteristics
of the datasets, this survey also concludes the potential applications of
datasets on various aspects of AV decision-making, assisting researchers to
find appropriate ones to support their own research. The future trends of AV
dataset development are summarized
Character Development among Youth of Color from Low-SES Backgrounds: An Examination of Boy Scouts of America’s ScoutReach Program
This study examined character attributes associated with participation in ScoutReach, Boy Scouts of America’s recent program innovation created to deliver Scouting curriculum to underserved populations. Participants were predominantly Black/African American (72.9%; N = 266, Mage = 10.54, SD = 1.58) and resided in low-income urban communities. Youth completed surveys assessing how much they embody different character attributes (e.g., kindness, helpfulness, hopeful future expectations), and a subset of youth (n = 22) also participated in semi-structured interviews examining character-shaping experiences within the program. Results replicated an eight-factor character structure established with youth involved in traditional Scouting programs, and indicated that involvement in ScoutReach may positively contribute to the development in youth of prosocial behaviors, future career goals, tolerance beliefs, and the manifestation of character attributes across Scouting and non-Scouting contexts. Together, these findings have implications for measuring character constructs among youth of color from low-SES backgrounds, and for the conduct of youth-serving character development programs more generally
Identification of quantitative trait loci for phosphorus use efficiency traits in rice using a high density SNP map
An Emergency Driving Intervention System Designed for Driver Disability Scenarios Based on Emergency Risk Field
Driver disability has become an increasing factor leading to traffic accidents, especially for commercial vehicle drivers who endure high mental and physical pressure because of long periods of work. Once driver disability occurs, e.g., heart disease or heat stroke, the loss of driving control may lead to serious traffic incidents and public damage. This paper proposes a novel driving intervention system for autonomous danger avoidance under driver disability conditions, including a quantitative risk assessment module named the Emergency Safety Field (ESF) and a motion-planning module. The ESF considers three factors affecting hedging behavior: road boundaries, obstacles, and target position. In the field-based framework, each factor is modeled as an individual risk source generating repulsive or attractive force fields. Individual risk distributions are regionally weighted and merged into one unified emergency safety field denoting the level of danger to the ego vehicle. With risk evaluation, a path–velocity-coupled motion planning module was designed to generate a safe and smooth trajectory to pull the vehicle over. The results of our experiments show that the proposed algorithms have obvious advantages in success rate, efficiency, stability, and safety compared with the traditional method. Validation on multiple simulation and real-world platforms proves the feasibility and adaptivity of the module in traffic scenarios
Association between APE1 ASP148GLU and colorectal cancer risk: A meta-analysis
Background: Colorectal cancer (CRC) is recognized as one of the most common cancer globally. The association between CRC and apurinic endonuclease 1 (APE1) Asp148Glu polymorphism remains unclear; thus, this meta-analysis aimed to explore whether APE1 Asp148Glu polymorphism is related to CRC risk.
Methods: Embase, PubMed, Cochrane library, CNKI and Wanfang databases were subject to a systematic search until April, 17, 2020 to evaluate the effect of APE1 Asp148Glu polymorphism on CRC risk. The associated strength was used to evaluate with odds ratios (ORs) with 95% confidence intervals (CIs) between Asp148Glu polymorphism and CRC risk. Subgroup analyses were also performed.
Results: In total, 11 articles including 8,136 subjects (3,836 cases and 4,300 controls) were included. Five genetic models were analyzed, including the additive model (G vs. T), the heterozygote comparison (TG vs. TT), the homozygote comparison (GG vs. TT), the dominant model (TG+GG vs. TT), and the recessive model (GG vs. TG+TT). In these models, T refers to thymine and G refers to guanine. The APE1 Asp148Glu polymorphism in heterozygote comparison [OR (95%CI) = 1.36 (1.05, 1.75), P=0.019] and dominant model [OR (95%CI) =1.31 (1.07, 1.61), P=0.010] significantly increased CRC risk. No significant association was seen for the additive model [OR (95%CI) = 1.14 (1.00, 1.31), P=0.057], recessive model [OR (95%CI) = 0.97 (0.71, 1.31), P=0.826] or in homozygote comparison [OR (95%CI) = 1.15 (0.88, 1.52), P=0.309]. Moreover, CRC risk indicated a remarkable association with APE1 Asp148Glu polymorphism in the PCR-RFLP additive model, homozygote comparison and recessive model (PG) may be a potential risk factor for CRC
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